2022.03 - Ph.D. Student, Department of Computer Science, Seoul Women's University
@VCMI (Visual Computing Medical Imaging) Lab.

2018.03 - 2021.08 B.S. Department of Software Convergence, Seoul Women's University

Contact Information

🏢 (Office) Room 213, Science Building 2, Seoul Women's University, 621 Hwarang-ro, Nowon-gu, Seoul, 01797, South Korea

📧(E-mail) jsan@swu.ac.kr

💬(Discord) https://discord.gg/E7kywXRkQp

📢NEWS

(May 13, 2025) Our paper "From Variability To Accuracy: Conditional Bernoulli Diffusion Models with Consensus-Driven Correction for Thin Structure Segmentation" has been early accepted (top 9%) to MICCAI 2025 and selected as a Paper Highlight 🎉

CONFERENCES

[International]

Jinseo An, Min Jin Lee, Kyu Won Shim, and Helen Hong, "From Variability To Accuracy: Conditional Bernoulli Diffusion Models with Consensus-Driven Correction for Thin Structure Segmentation," In Proc. of the 28th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2025). [Early Accepted (top 9%)] [Paper Highlight] [arXiv]
Jinseo An, Min Jin Lee, Kyu Won Shim, and Helen Hong, "Improving orbital bone segmentation with diffusion models and consensus-based refinement in facial CT images," In Proc. of the Computer-Aided Diagnosis (CAD) Conference at the SPIE Medical Imaging Symposium 2025 (SPIE MI 2025), Feb. 2025. [Oral Presentation]
Jinseo An, Min Jin Lee, Kyu Won Shim, and Helen Hong, "Guidance for Correcting Segmentation Errors using Conditional Diffusion Models Trained on Diverse Annotation Masks in CT Images," The Scientific Assembly and Annual Meeting of Radiological Society of North America (RSNA 2024), Dec. 2024.
Jinseo An, Min Jin Lee, Kyu Won Shim, and Helen Hong, "Enhancing Orbital Bone Segmentation Accuracy in CT Images using Prompt-based Segmentation with Selective Multiple Point Prompts," The Scientific Assembly and Annual Meeting of Radiological Society of North America (RSNA 2024), Dec. 2024.
Jinseo An, Min Jin Lee, Helen Hong, and Kyu Won Shim, "Evaluation of segmentation performance using multiple reference standards for accurate orbital bone modeling in cranio-maxillofacial surgery: based on MSDA-Net deep learning segmentation," The Scientific Assembly and Annual Meeting of Radiological Society of North America (RSNA 2023), Nov. 2023.
Jinseo An, Min Jin Lee, Jumin Lee, Kyu Won Shim, and Helen Hong, "MSDA-Net: Multi-Scale Dual-Attention Network for Orbital Bone Segmentation in Facial CT Images," International Forum on Medical Imaging in Asia (IFMIA 2023), Jan. 2023. [Oral Presentation]
Jinseo An, Min Jin Lee, Helen Hong, and Kyu Won Shim, "Effect of inter-slice resolution improvement for orbital bone segmentation of facial 3D CT images with different slice thicknesses," The Scientific Assembly and Annual Meeting of Radiological Society of North America (RSNA 2022), Nov. 2022.
Yoon Jo Kim*, Jinseo An*, and Helen Hong, "Deep ensemble models with multiscale lung-focused patches for pneumonia classification on chest x-ray," In Proc. of the Computer-Aided Diagnosis (CAD) Conference at the SPIE Medical Imaging Symposium 2022 (SPIE MI 2022), Feb. 2022.

[Domestic]

Yubeen Lee*, Goun Kim*, Jinseo An*, Heeyoung Jeong, and Helen Hong, "트랜스포머 기반의 UNETR++를 사용한 복부 CT 영상에서 신장 종양 자동 분할 (Automated Kidney Tumor Segmentation in Abdominal CT Images Using Transformer-Based UNETR++)," In Proc. of the Annual Fall Conference of Korea Multi-Media Society (KMMS), 2023.
Hyeonjin Kim*, Minseo Kim*, Jinseo An*, Min Jin Lee, Kyu Won Shim, Semyung Jang, Jong Hong Jeon, and Helen Hong, "안면 CT 영상에서 안와골 수동분할 시 관찰자 간 변동성 비교 평가 (Comparative evaluation of inter-observer variability in manual segmentation of orbital bone from facial CT images)," In Proc. of the Annual Fall Symposium of the Korean Society of 3D Printing in Medicine, 2022.
Yoon Jo Kim*, Jinseo An*, and Helen Hong, "다중 스케일 폐-집중 패치를 이용한 딥러닝 앙상블 기반 흉부 X-선 영상의 폐렴 자동 분류," In Proc. of the Annual Conference of Korean Society of Imaging Informatics in Medicine (KSIIM), 2021. [Best Paper Award]
Jinseo An*, Yoon Jo Kim*, and Helen Hong, "채널 어텐션과 공간 어텐션을 활용한 딥러닝 기반 흉부 X-선 영상 폐렴 진단 분류 (Classification of Pneumonia using Deep Neural Network with Channel Attention and Spatial Attention in Chest X-ray Images)," In Proc. of the Annual Spring Conference of Korean Society of Artifical Intelligence in Medicine (KoSAIM), 2021.
Jinseo An*, Yoon Jo Kim*, and Helen Hong, "흉부 X-선 영상에서 폐렴 자동 분류를 위한 전이 학습 및 시각화 (Transfer Learning and Visualization for Automatic Classification of Pneumonia in Chest X-ray Images)," In Proc. of the Annual Spring Conference of Korea Multi-Media Society (KMMS), 2021. [Best Paper Award]

JOURNALS

[International - SCI]

Jinseo An*, Min Jin Lee*, Kyu Won Shim, and Helen Hong, "Improved Orbital Bone Segmentation for Craniomaxillofacial Surgery: Addressing Challenges in Interslice Resolution and Thin Structure Segmentation," (under review)

[Domestic - KCI]

Goun Kim*, Jinseo An*, Yubeen Lee, and Helen Hong, "부분 신장 절제술 계획을 위한 하이브리드 CNN-트랜스포머 네트워크를 활용한 신장 종양 분할 (Kidney Tumor Segmentation Using a Hybrid CNN-Transformer Network for Partial Nephrectomy Planning)," Journal of Korea Computer Graphics Society (KCGS), Vol. 30, No. 4, pp. 11-18, 2024.
Jinseo An, Min Jin Lee, Kyu Won Shim, and Helen Hong, "안면부 CT 영상에서 U-Net 구조의 개선된 스킵 연결을 사용한 안와 분할 (Orbital Bone Segmentation using Improved Skip Connection of U-Net Structure in Facial CT Images)," Journal of Korea Computer Graphics Society (KCGS), Vol. 29, No. 2, pp. 13-20, 2023.
Yoon Jo Kim*, Jinseo An*, and Helen Hong, "흉부 X-선 영상에서 밝기값 정규화 및 다중 스케일 폐-집중 패치를 사용한 앙상블 딥러닝 모델 기반의 폐렴 자동 분류 (Automatic Classification of Pneumonia Based on Ensemble Deep Learning Model Using Intensity Normalization and Multiscale Lung-Focused Patches on Chest X-Ray Images)," Journal of Korean Institute of Information Scientists and Engineers (KIISE), Vol. 49, No. 9, pp. 677-685, 2022. [KCI 우수등재지]

PATENTS

Helen Hong and Jinseo An, "인공지능 기반 단층 이미지 분할 장치 및 그것의 제어방법 (Apparatus for Segmentation of Computed Tomography Image and Method for Controlling the Same)," Application ID No. 10-2025-0077440.
Helen Hong and Jinseo An, "어노테이션 마스크를 활용한 조건부 확산 모델 기반 분할 장치 및 방법 (Apparatus and Method for Segmentation based on Conditional Diffusion Model utilizing Annotation Mask)," Application ID No. 10-2024-0181496.
Helen Hong, Yoon Jo Kim, and Jinseo An, "폐렴 판독 방법, 장치 및 프로그램 (Method, Apparatus and Program to Read Pneumonia)," Registration ID No. 10-2720930-0000 (Application ID No. 10-2021-0129609).
Helen Hong and Jinseo An, "인공지능 모델을 이용한 이미지 세그멘테이션을 수행하는 전자 장치 및 그 동작 방법 (Electronic Device Performing Image Segmentation using Artifical Model and Operation Method Thereof)," Application ID No. 10-2023-0093891.

Last Update: September 22, 2025

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